WHAM!: We follow the same procedure as in [1]} in order to generate noisy mixtures using speakers and noise sources from the WHAM! [2]} dataset. We use this dataset as a medium-sized dataset with \(20{,}000\)  training noisy-speech pairs and \(3{,}000\)  test mixtures.
